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» 2D and 3D Shape Based Segmentation Using Deformable Models
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ICVGIP
2004
14 years 11 months ago
Facial Model Improvement Using 3D Texture Mapping Feedback
We present a method for improving a 3D facial model by interactive feedback of mapping a texture obtained from a 3D scanner. The method is based on extracting features from both 3...
Yongjie Liu, Anup Basu, Jong-Seong Kim
87
Voted
ECCV
2000
Springer
15 years 2 months ago
Minimal Paths in 3D Images and Application to Virtual Endoscopy
This paper presents a new method to find minimal paths in 3D images, giving as initial data one or two endpoints. This is based on previous work [1] for extracting paths in 2D ima...
Thomas Deschamps, Laurent D. Cohen
ICPR
2004
IEEE
15 years 10 months ago
A Deformable Model Driven Method for Handling Clothes
A model-driven method for handling clothes by two manipulators based on observation with stereo cameras is proposed. The task considered in this paper is to hold up a specific par...
Yasuyo Kita, Fuminori Saito, Nobuyuki Kita
PR
2007
136views more  PR 2007»
14 years 9 months ago
Shadow compensation in 2D images for face recognition
Illumination variation that occurs on face images degrades the performance of face recognition. In this paper, we propose a novel approach to handling illumination variation for f...
Sang-Il Choi, Chunghoon Kim, Chong-Ho Choi
CVPR
2010
IEEE
15 years 4 months ago
Finding Nemo: Deformable Object Class Modelling using Curve Matching
An image search for “clownfish” yields many photos of clownfish, each of a different individual of a different 3D shape in a different pose. Yet, to the human observer, this...
Mukta Prasad, Andrew Fitzgibbon